Results 151 to 160 of about 59,205 (260)

Multi-Parametric Evaluation of a Novel Benzoylthiourea Derivative as a Combustion Modifier in Diesel-Ethanol Blends Under EGR Conditions. [PDF]

Molecules
Coşman S.
europepmc   +1 more source

A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method

AIChE Journal, EarlyView.
Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen, Y. Sterkenburgh, Y. Tang, N. G. Deen, M. W. Baltussen   +4 more
wiley   +1 more source

Flame‐Retardant Quasi‐Solid‐State Electrolytes From Self‐Assembled Azolate Hybrid Frameworks for Highly Safe Lithium Batteries

Angewandte Chemie, EarlyView.
This work develops a spray‐assisted in situ assembly technique to construct AHF materials with nitrogen/oxygen‐regulated one‐dimensional channels on glass fiber, providing abundant active sites and enabling rapid transport for lithium ions. Subsequently, phosphate flame retardants are encapsulated via in situ polymerization, resulting in a thermally ...
Shun Wang, Qimin Zhu, Yuanyuan Tian, Peiyu Cui, Qing Ji, Tian Xie, Hong Wang, Dong Zhou, Guoxiu Wang, Wenhuan Huang   +9 more
wiley   +2 more sources

The Reaction Kinetics of Heavy Oil Combustion and Oxidation: Transition from Diffusion Limitation to Chemical Reaction Control. [PDF]

ACS Omega
Zhao F, Sun M, Zhang H, Yang Z, Wang J, Liu Q.   +5 more
europepmc   +1 more source

Spontaneous Combustion of Coal in The Low Temperature Range

Journal of the Mining Institute of Japan, 1987
Kyuro SASAKI, Hiroshi MIYAKOSHI, Kazuo OTSUKA   +2 more
openaire   +2 more sources

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Hole‐Activated Lattice Oxygen Enables Pt‐Free Propane Dehydrogenation by Eliminating the Hydrogen Recombination Bottleneck

Angewandte Chemie, EarlyView.
Trace Mg doping into gallia–alumina generates hole‐type oxygen species that accelerate hydrogen recombination, eliminating the need for Pt promotion. The fully oxide‐based catalyst resists sintering under repeated regeneration, outperforming benchmark PtSn and CrOx catalysts with exceptional stability over 30 dehydrogenation–regeneration cycles ...
DongHwan Oh, Jaewoo Jeong, Susung Lee, Younghwan Park, Seunghyuck Chi, Yaejun Baik, Hyungjun Kim, Hyeyoung Shin, Minkee Choi   +8 more
wiley   +2 more sources

Three-Dimensional Pore-Scale Numerical Study of the Impact of Operation Parameters on Ammonia-Methane Premixed Combustion in a Double-Layer Spherical Stacked Porous Medium Burner. [PDF]

ACS Omega
Li D, Tan F, Wang X, Xu J, Wang S, Li F, Zhu T, Zhu L, Wu Z, Liao M.   +9 more
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Modulating Local Coordination in Single‐Atom Catalysts: From Fundamental Concepts to Emerging Breakthroughs in Electrocatalysis

Angewandte Chemie, EarlyView.
This review summarizes atomic‐level design strategies for single‐atom catalysts, emphasizing modulation of the local coordination environment, active‐site geometry, and metal‐support interactions to optimize catalytic activity and stability in electrocatalytic energy conversion applications.
Ashwani Kumar, Harun Tüysüz
wiley   +2 more sources